Job
In this role, you develop data-driven analyses and predictive models that optimize business decisions in eMobility while collaborating closely with stakeholders and AI/ML engineers.
Job technologies
Your role in the team
- You turn data into decisions for a pan-European business.
- As a Senior Data Scientist in our newly established AI UNIT within E.ON Drive Infrastructure (EDRI), a special unit built and run like a startup, you will help transform complex business challenges into data-driven decisions.
- Working closely with stakeholders across the organization, you will develop analyses, experiments, and models that create measurable business impact and shape the future of AI-driven decision-making at EDRI.
- You report to our Head of AI Strategy.
- Translate business challenges into analyses, predictive models, and actionable recommendations.
- Build and validate statistical, machine learning, and optimization models to support strategic decision-making.
- Design experiments and measure real business impact, beyond correlation, using rigorous analytical methodologies.
- Collaborate with AI/ML Engineers to bring analytical models into production environments.
- Communicate insights, assumptions, and uncertainty clearly to stakeholders up to CEO level.
- Establish best practices and standards for analytics, experimentation, and model development.
- Evaluate emerging AI models, AI tooling, and agentic systems and use what works to accelerate analysis workflows.
- Drive data-informed decision-making across business functions and regions.
- Share knowledge and support the development of junior colleagues - this is a senior individual contributor role.
Our expectations of you
Qualifications
- You are a commercially minded Data Scientist who combines strong analytical rigor with the ability to influence business decisions.
- You enjoy tackling ambiguous problems, turning data into insights, and delivering measurable outcomes.
- Strong background in statistics, including hypothesis testing, experimentation, and causal inference.
- Excellent programming skills in Python and SQL.
- Deep expertise in at least one area such as forecasting, optimization, causal inference, or Bayesian methods.
- Ability to communicate complex analytical findings to non-technical audiences.
- Strong commercial mindset with a focus on business impact and value creation.
- Curious, pragmatic, and passionate about solving complex problems through data and AI-driven insights.
Experience
- Proven experience delivering analyses and models that influenced real business decisions.
- Experience working with machine learning techniques and data-driven decision-making frameworks.
- Experience taking models into production.
- Hands-on experience with GenAI or LLM-based tools.
- Experience in energy, mobility, or other asset-heavy industries.
What we offer
- People take centre stage: Become part of a dynamic, ambitious and agile team that develops solutions for the eMobility market and be part of our EDRI events.
- With us, you get the best of both worlds - 100% start-up with the support of a large company.
- The freedom you need: We offer you hybrid working with flexible working hours.
- Workation: Enjoy the flexibility to work temporarily from abroad - within the EU.
- You will receive a competitive salary.
- A company pension scheme is of course also one of the benefits with us.
- Sustainable learning opportunities: We support you with a training budget of 5,000 euros per year.
- You get everything you need to get started: onboarding with welcome gifts and all the hardware you need.
Benefits
Health, fitness & fun
Higher take-home pay
Food & drink
Topics you will work on
Job locations
About your employer
At E.ON, we are committed to making the energy world more efficient and intelligent. Through innovative customer solutions and unique energy networks, we can improve the quality of life for people around the world. Our headquarters is in Essen, from where we coordinate our international activity.
- Established Company
- Hybrid, Onsite
- Power Sector, Economy
Employer reviews
- Team culture
- 3.5
- Working conditions
- 4.0
- Career growth
- 3.2
- Engineering
- 2.7
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